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Record W3193885153 · doi:10.1016/j.cjco.2021.07.018

Changing the Face of Cardiovascular Trial Participation: Moving Beyond Middle-Aged White Guys

2021· editorial· en· W3193885153 on OpenAlexaboutno aff
David D. Waters

Bibliographic record

VenueCJC Open · 2021
Typeeditorial
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsClinical trialMedicineFood and drug administrationGuidelineAlternative medicineGeneralizability theoryDisadvantagedFamily medicineGerontologyEnvironmental healthPsychologyInternal medicinePolitical sciencePathology

Abstract

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Clinical trials provide the most reliable data supporting the efficacy and safety of cardiovascular (CV) disease treatments. Generalizability is an important attribute of a clinical trial. In practical terms, you want to know that the patient you are about to treat was adequately represented in a trial demonstrating safety and efficacy. CV trials that exclude women or in which women are inadequately represented thus fall short of the ideal. This statement also holds true for older adults, people of color, and disadvantaged groups. The tradition of excluding women from cardiovascular trials began long ago. A US Food and Drug Administration (FDA) guideline published in 1977 recommended that women of childbearing potential be excluded from phase 1 and early phase 2 clinical trials, and this directive is considered to have had a chilling effect on their access to phase 3 trials.1U.S. Food and Drug Administration websiteGender studies in product development: historical overview.https://www.fda.gov/science-research/womens-health-research/gender-studies-product-development-historical-overviewDate accessed: June 21, 2021Google Scholar In 1993, the FDA explicitly reversed their 1977 recommendation and called for trial data be analyzed to assess gender effect.1U.S. Food and Drug Administration websiteGender studies in product development: historical overview.https://www.fda.gov/science-research/womens-health-research/gender-studies-product-development-historical-overviewDate accessed: June 21, 2021Google Scholar The importance of CV trials for women was highlighted by the unexpected failures of hormone replacement therapy to reduce CV events in both primary and secondary prevention in postmenopausal women.2Grady D. Herrington D. Bittner V. et al.for the HERS Research Group. Cardiovascular outcomes during 6.8 years of hormone therapy. Heart and Estrogen/Progestin Replacement Study follow-up (HERS II).JAMA. 2002; 208: 49-57Crossref Scopus (1521) Google Scholar,3Rossouw J.E. Anderson G.L. Prentice R.L. et al.Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women’s Health Initiative randomized controlled trial.JAMA. 2002; 288: 321-333Crossref PubMed Scopus (13440) Google Scholar Studies over the last 2 decades have broadened our understanding of sex and gender differences between women and men and how they might influence outcome differences for a variety of treatments. Four large studies were recently published documenting the rates of participation of women in CV trials.4Scott P.E. Unger E.F. Jenkins M.R. et al.Participation of women in clinical trials supporting FDA approval of cardiovascular drugs.J Am Coll Cardiol. 2018; 71: 1960-1969Crossref PubMed Scopus (104) Google Scholar, 5Jin X. Chandramouli C. Allocco B. et al.Women’s participation in cardiovascular clinical trials from 2010 to 2017.Circulation. 2020; 141: 540-548Crossref PubMed Scopus (47) Google Scholar, 6Khan S.U. Khan M.Z. Raghu Subramanian C. et al.Participation of women and older participants in randomized clinical trials of lipid-lowering therapies.JAMA Netw Open. 2020; 3 (e205202)Crossref Scopus (22) Google Scholar, 7Gong I.Y. Tan N.S. Ali S.H. et al.Temporal trends of women enrollment in major cardiovascular randomized clinical trials.Can J Cardiol. 2019; 35: 653-660Abstract Full Text Full Text PDF PubMed Scopus (25) Google Scholar A study from the FDA’s Office of Women’s Health reported on trials supporting drug approvals from 2005 to 2015.4Scott P.E. Unger E.F. Jenkins M.R. et al.Participation of women in clinical trials supporting FDA approval of cardiovascular drugs.J Am Coll Cardiol. 2018; 71: 1960-1969Crossref PubMed Scopus (104) Google Scholar The proportion of women enrolled overall was 46% (range, 22%-81%). Participation to prevalence ratio (PPR), defined as the percentage of women among trial participants divided by the percentage of women in the disease population, was within the desirable range of 0.8-1.2 for atrial fibrillation (0.8-1.1), hypertension (0.9) and pulmonary hypertension (1.4), but was low for trials in heart failure (0.5-0.6), coronary disease (0.6), and acute coronary syndrome (0.6). Across these trials the authors found little indication of clinically meaningful gender differences in efficacy or safety. In a larger, more recent report, the investigators studied 740 completed CV trials registered at ClinicalTrials.gov between 2010 and 2017.5Jin X. Chandramouli C. Allocco B. et al.Women’s participation in cardiovascular clinical trials from 2010 to 2017.Circulation. 2020; 141: 540-548Crossref PubMed Scopus (47) Google Scholar PPR was higher than 0.8 for hypertension and pulmonary hypertension, and lower (0.48 to 0.78) for arrhythmia, coronary disease, acute coronary syndrome, and heart failure trials. The most recent period, 2013-2017, saw increases in PPR for stroke (P = 0.007) and heart failure (P = 0.01) trials compared with the previous period. The third large recent study included 60 randomized trials of lipid-lowering therapy with 485,409 participants reported from 1990 to 2018.6Khan S.U. Khan M.Z. Raghu Subramanian C. et al.Participation of women and older participants in randomized clinical trials of lipid-lowering therapies.JAMA Netw Open. 2020; 3 (e205202)Crossref Scopus (22) Google Scholar Enrollment of women increased from 19.5% between 1990 and 1994 to 33.6% between 2015 and 2018. PPR for lipid trials of diabetes (0.74), heart failure (0.27), stable coronary disease (0.48), and acute coronary syndrome (0.51) were low. However in trials of hypercholesterolemia, women were overrepresented (PPR 1.27). In a study covering 598 CV trials published between 1986 and 2015 in 3 major journals, the proportion of participants who were women increased from 21% in 1986-1990 to 33% in 2011-2015.7Gong I.Y. Tan N.S. Ali S.H. et al.Temporal trends of women enrollment in major cardiovascular randomized clinical trials.Can J Cardiol. 2019; 35: 653-660Abstract Full Text Full Text PDF PubMed Scopus (25) Google Scholar As reported in the other 3 studies, women participated at lower rates than expected based on their proportion of the disease population. The results of these 4 studies are roughly congruent, although details differ. Women participate less often than men, and their PPRs are lower for most conditions. Participation rates have improved more recently in studies where different periods were compared. A limited number of studies have investigated potential explanations for lower willingness to participate (WTP) in women. In a small Canadian study, 54% of 270 postmenopausal women stated that they would not participate in a CV trial, and 46% indicated that they would.8Cheung A.M. Lee Y. Kapral M. et al.Barriers and motivations for women to participate in cardiovascular trials.J Obstet Gynaecol Can. 2008; 30: 332-337Abstract Full Text PDF PubMed Scopus (17) Google Scholar Motivations reported for participating included personal health benefits (82.2%), interest in research (44.1%), and the possibility of benefiting society (29.1%). Reasons for declining included personal illness (24.8%), transportation issues (17.9%), reluctance to increase medication (15.2%), and concern about adverse effects (13.1%). In a study from northwest England in which patients with heart failure were approached by mail about study participation, male sex (odds ratio, 1.58; 95% confidence interval [CI], 1.04-2.41) and younger age (odds ratio, 1.05; 95% CI, 1.03-1.08) were associated with WTP.9Lloyd-Williams F. Mair F. Shiels C. et al.Why are patients in clinical trials of heart failure not like those we see in everyday practice?.J Clin Epidemiol. 2003; 56: 1157-1162Abstract Full Text Full Text PDF PubMed Scopus (50) Google Scholar The mean age of those accepting participation was 73.8 years compared with 78.9 years in those refusing. Main reasons given for refusal to participate were not feeling well enough (36%), no transportation or inability to walk (28%), not interested (17%), old age (10%), and too busy (7%). These results may be specific to heart failure trials in which older age predominates. In contrast, in an Italian study in which 59% of subjects expressed a WTP and 40% did not, those who refused were more frequently women, were younger (62 ± 5 vs 74 ± 9 years), and had a higher level of education and income.10Cosmi F. Mariottoni B. Tarquini B. et al.The patient in clinical research: disposable guinea pig or involved actor?.G Ital Cardiol (Rome). 2020; 21: 309-314PubMed Google Scholar Among patients who refused, 629 responded to an interview. Reasons for refusal were the advice of family or friends (28%), objection to trial procedures (placebo group, double-blind allocation, 25%), distrust of traditional medicine (20%), uncertain about follow-up (10%), did not want additional visits (11%), and bad previous research experience (5%). Different clinical conditions and different patient populations are likely to yield differences in reasons for nonparticipation. In a randomized, double-blind study of 783 participants from 13 clinical centers, WTP was assessed for various trial scenarios.11Ding E.L. Powe N.R. Manson J.E. Sherber N.S. Braunstein J.B. Sex differences in perceived risks, distrust, and willingness to participate in clinical trials: a randomized study of cardiovascular prevention trials.Arch Intern Med. 2007; 167: 905-912Crossref PubMed Scopus (89) Google Scholar Key components of the trial scenarios, such as potential severity of adverse effects, trial sponsor, and amount of remuneration for participation were randomized. Women showed a lower distrust of medical researchers but perceived a greater risk of myocardial infarction and a greater risk from trial participation compared with men. Men were more willing to participate than women (33.1% vs 28.7%; relative risk, 1.15; 95% CI, 1.02-1.31). The sex difference in WTP disappeared with adjustment for perceived risks and benefits. Age, history of coronary disease, hypertension, and diabetes increased WTP in men but not in women. Monetary incentives had more effect on WTP in women than men (P = 0.03 for sex interaction). The authors concluded that efforts to clarify perceptions of risks and benefits in men and women may help improve the sex disparity in WTP. If women are less likely than men to enroll in CV trials, one might expect that they would also behave differently after they are enrolled, and one large study indicates that this is true. In a report from the TIMI (Thrombolysis in Myocardial Infarction) group including 135,879 men and 51,812 women (28%) from 11 phase 3 or 4 trials, women had a higher rate of drug discontinuation compared with men (adjusted odds ratio, 1.22; 95% CI, 1.16-1.28).12Lau E. Braunwald E. Morrow D.A. et al.Sex, permanent drug discontinuation, and study retention in clinical trials. Insights from the TIMI trials.Circulation. 2021; 143: 685-695Crossref PubMed Scopus (3) Google Scholar Interestingly, this was true both in placebo and active treatment arms and was not due to baseline differences between the sexes. Adverse events accounted for drug discontinuation in 36% of women and 36% of men. Women were more likely to withdraw consent compared with men (adjusted odds ratio, 1.26; 95% CI, 1.17-1.36). Many CV trials aim to improve participation rates of women, and some set specific targets, yet in most cases these efforts are not serious and are not accompanied by any practical steps that are likely to make a difference. An initial practical step is to scrutinize inclusion and exclusion criteria to be certain that women are not being unintentionally excluded. Applying study entry criteria to a group of potential “real” study participants, men and women, can be a useful exercise to discover who will be excluded and why, before the study is initiated. Often initial entry criteria are too restrictive, recruitment lags, and entry criteria are then relaxed. Women are underrepresented in leadership positions in CV trials.13Denby K.J. Szpakowski N. Silver J. et al.Representation of women in cardiovascular clinical trial leadership.JAMA Intern Med. 2020; 180: 1382-1383Crossref PubMed Scopus (11) Google Scholar As a result, the orientation of trials tends to ignore the perspective of women. As previously noted, women have different issues related to trial participation compared with men,11Ding E.L. Powe N.R. Manson J.E. Sherber N.S. Braunstein J.B. Sex differences in perceived risks, distrust, and willingness to participate in clinical trials: a randomized study of cardiovascular prevention trials.Arch Intern Med. 2007; 167: 905-912Crossref PubMed Scopus (89) Google Scholar and it is reasonable to assume that these issues have not been adequately addressed when recruitment of women falls short. Although study coordinators are usually women, they may take their cues from male principal investigators and not be adequately trained to address the concerns of potential participants who are women. Investigators who are serious about recruiting an adequate proportion of women into a trial should set a target and stop recruitment of men early if projections show that the target for women will not be met. In the recent heart failure trial in which this approach was adopted, 52% of participants were women (n = 2,479) and a strong sex-by-treatment interaction was observed, with greater benefit in women than in men with heart failure and preserved ejection in the sacubitril plus valsartan group compared with the valsartan alone group (interaction P < 0.006).14Solomon S.D. McMurray J.J.V. Anand I.S. et al.PARAGON-HF Investigators and CommitteesAngiotensin-neprilysin inhibition in heart failure with preserved ejection fraction.N Engl J Med. 2019; 381: 1609-1620Crossref PubMed Scopus (595) Google Scholar Most of the statements made about women in this review also apply to older adults and other subgroups of interest. Most older clinical trials had an upper age limit, with the result that scant or no trial data was available to guide decision-making in patients older than 75 or 80 years. Such patients comprise a rapidly growing proportion of the population. Because drug metabolism is slower and more variable in older adults, and for other reasons too, efficacy and safety might be different than for younger populations. In the African-American Heart Failure Trial, self-identified Blacks with heart failure were randomly assigned to placebo or a fixed combination of hydralazine and isosorbide dinitrate.15Taylor A.L. Ziesche S. Yancy C. et al.Combination of isosorbide dinitrate and hydralazine in blacks with heart failure.N Engl J Med. 2004; 351: 2049-2057Crossref PubMed Scopus (1288) Google Scholar The trial was stopped early due to a 43% reduction in all-cause mortality in the active treatment group. The justification for limiting the trial to Blacks is that such patients respond less well to angiotensin-converting enzyme inhibitors than do non-Blacks. Race is a poor marker of genetic differences among populations16Bloche M.G. Race-based therapeutics.N Engl J Med. 2004; 351: 2035-2037Crossref PubMed Scopus (136) Google Scholar; however, including different races in CV trials and reporting results by racial subgroup is important if the treatment under study will be used in that subgroup. Racial differences in outcomes may also be a result of environmental or behavioral differences between groups. In Canada, CV risk is higher in certain racial and ethnic groups—South Asian, Afro-Caribbean, Chinese, and Hispanic, particularly in women.17Jaffer S. Foulds H.J.A. Parry M. et al.The Canadian Women’s Heart Health Alliance ATLAS on the epidemiology, diagnosis, and management of cardiovascular disease in women – chapter 2: scope of the problem.CJC Open. 2020; 3: 1-11Abstract Full Text Full Text PDF PubMed Scopus (5) Google Scholar Canadians living in remote, rural, northern, or on-reserve locations; those with lower socio-economic status; and persons with disabilities also have an increased CV risk. Overcoming barriers and enrolling such patients in CV trials demonstrates inclusivity and is respectful of others. It is tempting to conclude that the treatment of women, older adults, people of color, and other disadvantaged groups in clinical trials mirrors their treatment in the broader world. Adapting trials to the perspectives and needs of all potential subjects, not just middle-aged white guys, will make trial results more accurate and useful. The author has no funding sources to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.365
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
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